David Bermejo-Peláez

According to our database, David Bermejo-Peláez authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Unpaired Semantic-Preserving Virtual Perls Generation via Conditional Generative Models.

I. Hernández-Abad, Juan E. Ortuño, A. Mendoza, M. Gómez-Álvarez, A. Basterra-García, A. Ortiz-Ruiz, David Bermejo-Peláez, D. Brau-Queralt, A. Rodríguez-García, Nuria Díez, Monica Hernandez, Andrés Santos, C. Benavente, J. Martínez-López, María Linares, Miguel A. Luengo-Oroz, María J. Ledesma-Carbayo

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Uncertainty-Aware Multimodal Fusion for Prognostic Prediction in Myelodysplastic Syndromes.

A. Basterra-García, I. Hernández-Abad, David Bermejo-Peláez, Benito Farina, M. Hidalgo, M. Gómez-Álvarez, A. Mendoza, D. Brau-Queralt, Juan E. Ortuño, N. Déez, Andrés Santos, R. Ancos-Pintado, R. García-Vicente, María Linares, C. Benavente, J. Montoro, J. Martínez-López, Miguel A. Luengo-Oroz, María J. Ledesma-Carbayo

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Dataset from Artificial Intelligence algorithm for real-time detection and counting of Trypanosoma cruzi parasites using a smartphone.

Lin Lin, Ana Valeria Solano, Fabiola Gonzales, Mary Cruz Torrico, Daniel Illanes, Nuria Díez, David Bermejo-Peláez, Elena Dacal, Ramón Vallés-López, Lucía Pastor, Roberto Mancebo-Martín, María J. Ledesma-Carbayo, Miguel A. Luengo-Oroz, José M. Rubio, Maria Flores-Chavez

Dataset, March, 2025

Spatio-temporal deep learning with temporal attention for indeterminate lung nodule classification.

Benito Farina, R. Carbajo Benito, David Montalvo-García, David Bermejo-Peláez, Luis Miguel Seijo Maceiras, María J. Ledesma-Carbayo

Comput. Biol. Medicine, 2025

2024

How many labels do I need? self-supervised learning strategies for multiple blood parasites classification in microscopy images.

Roberto Mancebo-Martín, Lin Lin, Elena Dacal, Miguel A. Luengo-Oroz, David Bermejo-Peláez

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Learning Breast Tissue Prone-To-Supine Displacement for Surgical Planning with Convolutional Neural Networks.

Felicia Alfano, David Bermejo-Peláez, Lucilio Cordero-Grande, Karla Ferreres García, Juan Enrique Ortuño Fisac, Oscar Bueno Zamora, Serafín Lizarraga, Andrés Santos, Javier Pascau, María J. Ledesma-Carbayo

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis.

Daniel Capellán-Martín, Juan J. Gómez-Valverde, Ramon Sánchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, María J. Ledesma-Carbayo

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

A Lightweight, Rapid and Efficient Deep Convolutional Network for Chest X-Ray Tuberculosis Detection.

Daniel Capellán-Martín, Juan J. Gomez-Valverde, David Bermejo-Peláez, María J. Ledesma-Carbayo

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images.

David Bermejo-Peláez, Raúl San José Estépar, M. Fernández-Velilla, Carmelo Palacios Miras, Guillermo Gallardo Madueño, M. Benegas, Miguel A. Luengo-Oroz, J. Sellarés, M. Sánchez, Gorka Bastarrika, German R. Peces-Barba, Luis Miguel Seijo Maceiras, María J. Ledesma-Carbayo

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Combining collective and artificial intelligence for global health diseases diagnosis using crowdsourced annotated medical images.

Lin Lin, David Bermejo-Peláez, Daniel Capellán-Martín, Daniel Cuadrado, Cristina Rodríguez, Lydia García, Nuria Díez, Rocío Tomé, María Postigo, María-Jesus Ledesma-Carbayo, Miguel A. Luengo-Oroz

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images.

Daniel Jimenez-Carretero, David Bermejo-Peláez, Pietro Nardelli, Patricia Fraga, Eduardo Fraile Moreno, Raúl San José Estépar, María J. Ledesma-Carbayo

Medical Image Anal., 2019

A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation.

David Bermejo-Peláez, Yuka Okajima, George R. Washko, María-Jesus Ledesma-Carbayo, Raúl San José Estépar

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.

Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Peláez, George R. Washko, Farbod N. Rahaghi, María J. Ledesma-Carbayo, Raúl San José Estépar

IEEE Trans. Medical Imaging, 2018

Emphysema classification using a multi-view convolutional network.

David Bermejo-Peláez, Raúl San José Estépar, María J. Ledesma-Carbayo

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images.

Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Peláez, María J. Ledesma-Carbayo, Farbod N. Rahaghi, Raúl San José Estépar

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017